Bi-level and Multi-objective Robust Optimal Dispatching of AC/DC Hybrid Microgrid with Virtual Power Plant Participation
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Bi-level and Multi-objective Robust Optimal Dispatching of AC/DC Hybrid Microgrid with Virtual Power Plant Participation
Vol. 46, Issue 7, Pages: 2350-2361(2020)
作者机构:
1. 新疆大学可再生能源发电与并网技术教育部工程研究中心
2. 国网新疆电力有限公司经济技术研究院
作者简介:
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DOI:
CLC:
Published Online:31 July 2020,
Published:2020
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LI Xiaozhu, WANG Weiqing, WANG Haiyun, et al. Bi-level and Multi-objective Robust Optimal Dispatching of AC/DC Hybrid Microgrid with Virtual Power Plant Participation[J]. 2020, 46(7): 2350-2361.
DOI:
LI Xiaozhu, WANG Weiqing, WANG Haiyun, et al. Bi-level and Multi-objective Robust Optimal Dispatching of AC/DC Hybrid Microgrid with Virtual Power Plant Participation[J]. 2020, 46(7): 2350-2361.DOI:
Bi-level and Multi-objective Robust Optimal Dispatching of AC/DC Hybrid Microgrid with Virtual Power Plant Participation
In order to control the distributed renewable energy(DRE) and controllable load flexibly to participate in market transactions and optimal dispatch
an optimal dispatching model for AC/DC hybrid microgrid(AC/DCHM) with virtual power plants(VPP) based on bi-level multi-objective robustness is proposed. The VPP technology is used to suppress the uncertainty of power generation and consumption
and the robust theory is used to construct the uncertain aggregate which can adjust the boundary flexibly. According to the characteristics of the model
multi-objective moth-flame optimization(MOMFO) is used. The results show that the model can make up for the lack of traditional robust optimization that is too conservative
and deal with the defects of microgrid load
poor source predictability
and insufficient dispatchable resources and means. It will balance the income entities of each level
the profit of microgrid can be increased by 7.3% with VPP. On the premise of ensuring the stable operation
the confidence probability of the uncertain variables of load and source can be reasonably selected
and the profit can be increased by 22.8%. Therefore
the sustainable development of electric power economy can be effectively realized.